The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011

Abstract

Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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Does Proximity Matter in the Choice of Partners in Collaborative R&D Projects? – An Empirical Analysis of Granted Projects in Germany

Mirko Titze, Philipp Marek, Ulrich Blum, Clemens Fuhrmeister

IWH Discussion Papers,
No. 12,
2014

Abstract

This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.
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Abstract

This paper analyzes the relationship between intermunicipal cooperation and efficiency of public service provision. The organizational arrangements, including self-provision, joint pro-vision or contracting, affect politicians’ and bureaucrats’ incentives as well as internal transaction costs. Hence, cooperation gains from scale effects have to be weighed against technical inefficiencies. We analyze wastewater disposal for a unique dataset of small and medium-sized Hessian municipalities. We employ a two-stage DEA (DEA = Data Evelopment Analysis) bootstrap approach to calculate relative efficiency measures controlling for organizational arrangements and further environmental variables. Jointly providing municipalities and contractor municipalities score lower in terms of technical efficiency than self-providing and contracting municipalities. The scope for increasing scale efficiency turns out to be limited and hence, only small municipalities may benefit from scale economies from cooperation. The findings suggest that small municipalities should rely on contracting or on joint provision with a high degree of vertical integration.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States

Abstract

Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. We theoretically show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private research and development (R&D). Collecting unique panel data on federal procurement in US states, we find that reshuffling procurement toward high-tech industries has an economically and statistically significant positive effect on private R&D, even after extensively controlling for other R&D determinants. Instrumental-variable estimations support a causal interpretation of our findings.
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Is Subsidizing Companies in Difficulties an Optimal Policy? An Empirical Study on the Effectiveness of State Aid in the European Union

Nicole Nulsch

IWH Discussion Papers,
No. 9,
2014

Abstract

Even though state aid in order to rescue or restructure ailing companies is regularly granted by European governments, it is often controversially discussed. The aims for rescuing companies are manifold and vary from social, industrial and even political considerations. Well-known examples are Austrian Airlines (Austria) or MG Rover (Great Britain). Yet, this study aims to answer the question whether state aid is used effectively and whether the initial aim why aid has been paid has been reached, i.e. the survival of the company. By using data on rescued companies in the EU and applying a survival analysis, this paper investigates the survival rates of these companies up to 15 years after the aid has been paid. In addition, the results are compared to the survival rates of non-rescued companies which have also been in difficulties. The results suggest that despite the financial support, business failure is often only post-poned; best survival rates have firms with long-term restructuring, enterprises in Eastern Europe, smaller firms and mature companies. However, non-funded companies have an even higher ratio to go bankrupt.
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Do We Need New Modelling Approaches in Macroeconomics?

Claudia M. Buch, Oliver Holtemöller

IWH Discussion Papers,
No. 8,
2014

Abstract

The economic and financial crisis that emerged in 2008 also initiated an intense discussion on macroeconomic research and the role of economists in society. The debate focuses on three main issues. Firstly, it is argued that economists failed to predict the crisis and to design early warning systems. Secondly, it is claimed that economists use models of the macroeconomy which fail to integrate financial markets and which are inadequate to model large economic crises. Thirdly, the issue has been raised that economists invoke unrealistic assumptions concerning human behaviour by assuming that all agents are self-centred, rationally optimizing individuals. In this paper, we focus on the first two issues. Overall, our thrust is that the above statements are a caricature of modern economic theory and empirics. A rich field of research developed already before the crisis and picked up shortcomings of previous models.
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Abstract

Were real effective exchange rates (REER) of Euro area member countries drastically misaligned at the outbreak of the global financial crisis? The answer is difficult to determine because economic theory gives no simple guideline for determining the equilibrium values of real exchange rates, and the determinants of those values might have been distorted as well. To overcome these limitations, we use synthetic matching to construct a counterfactual economy for each member as a linear combination of a large set of non-Euro area countries. We find that Euro area crisis countries are best described by a mixture of advanced and emerging economies. Comparing the actual REER with those of the counterfactuals gives sensible estimates of the misalignments at the start of the crisis: All peripheral countries were strongly overvalued, while high undervaluation is only observed for Finland.
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Abstract

The challenges facing the 21st century, presented by a growing global population, range from food security to sustainable energy supplies to the diminishing availability of fossil raw materials. An attempt to solve these problems is made by using the concept of bioeconomy. Plants, in particular, possess an important function in this context - they can be used either as a source of food or, in the form of biomass, for industrial or energy purposes. Linking industrial and agricultural research and production, bioeconomy provides growth potential, in particular in rural areas.
The aim of this article is therefore to outline the status of plant-based bioeconomy
in three states of Central Germany - Saxony, Saxony-Anhalt and Thuringia - and to compare this to German plant-based bioeconomy. We take an in-depth look at the different sectors and outline the industries involved, the location and age of the enterprises as well as the distribution of important NACE codes. In conclusion, we highlight the significant number of new or small enterprises and the high research and innovation rate of Central Germany. We also stress the future potential of Central German plant-based bioeconomy as well as the importance of a more plant-focusedview of the technology sector.
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On the Stability of Preferences: Repercussions of Entrepreneurship on Risk Attitudes

Matthias Brachert, Walter Hyll

IWH Discussion Papers,
No. 5,
2014

Abstract

The majority of empirical studies make use of the assumption of stable preferences in searching for a relationship between risk attitude and the decision to become and stay an entrepreneur. Yet empirical evidence on this relationship is limited. In this paper, we show that entry into entrepreneurship itself plays a decisive role in shaping risk preferences. We find that becoming self-employed is indeed associated with a relative increase in risk attitudes, an increase that is quantitatively large and significant even after controlling for individual characteristics, different employment status, and duration of entrepreneurship. The findings suggest that studies assuming that risk attitudes are stable over time suffer from reverse causality; risk attitudes do not remain stable over time, and individual preferences change endogenously.
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Outperforming IMF Forecasts by the Use of Leading Indicators

Katja Drechsel, Sebastian Giesen, Axel Lindner

IWH Discussion Papers,
No. 4,
2014

Abstract

This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the indicators we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts if the publication of the Outlook is only a few months old.
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